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ai-workflow-course/modules/09-issues-and-the-task-layer/lab/example-issues.md
T
claude 3df7c1a908 fix(module-9): reframe worked-example issues off already-built features (device-preserving)
The carry-forward tasks-app already has `delete` (M4) and priority handling (M6),
so Module 9's example issues described built work. Reframed:
- Issue 2 (agent-ready exemplar): delete -> `undone <index>` (genuinely unbuilt;
  mirrors `done`, stays crisp with acceptance criteria).
- Issue 3 (route-to-human exemplar): priorities -> due dates, kept DELIBERATELY
  under-specified — open design questions intact, no acceptance criteria,
  Ready: no, Route to: human. The agent-ready-vs-human contrast is the point.
- README routing prose + carry-forward note aligned.

Closes #40

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
2026-06-22 17:51:47 -04:00

4.6 KiB
Raw Blame History

Issue 1 — bug — route to AGENT

Title: done command crashes on an out-of-range or non-integer index

Context / problem

python cli.py done 99 on a list with 3 tasks raises an uncaught IndexError and dumps a Python traceback. python cli.py done abc raises ValueError the same way. The user sees a stack trace instead of a helpful message, and the process exits as if it crashed.

Reproduce:

python cli.py add "first"
python cli.py done 99      # IndexError traceback
python cli.py done abc     # ValueError traceback

Acceptance criteria

  • done <index> with an out-of-range index prints a clear message (e.g. no task at index 99) and exits non-zero — no traceback.
  • done <non-integer> prints a clear message and exits non-zero — no traceback.
  • A valid done <index> still marks the task done exactly as before.

Out of scope

Changing how tasks are stored, numbered, or displayed.


  • Type: bug
  • Priority: high
  • Ready: yes
  • Route to: agent — contained, reproducible, and verifiable in seconds; clear acceptance criteria mean an agent's first pass is very likely correct.

Issue 2 — feature — route to AGENT

Title: Add an undone <index> command to mark a completed task as not done

Context / problem

You can mark a task done, but there's no way to undo it — flag the wrong index by mistake and the only "fix" is to delete the task and re-add it. The command should mirror the existing done <index> command, which already takes an index and flips a task's state; this is simply its inverse.

Acceptance criteria

  • python cli.py undone <index> clears the done flag on the task at that index and saves.
  • undone with an out-of-range or non-integer index prints a clear error and exits non-zero (same behavior as the fixed done, see Issue 1).
  • list after undone shows that task as not done ([ ]).
  • Usage text mentions the new undone command.

Out of scope

A general multi-step undo / command history (separate concern). Changing the storage format.

Proposed approach (optional)

Add a reopen(index) method on TaskList in tasks.py — the inverse of the existing complete — and wire an undone branch in cli.py, parallel to the existing done handling.


  • Type: feature
  • Priority: med
  • Ready: yes
  • Route to: agent — well-scoped and patterned directly on existing code (the inverse of done); low ambiguity, easy to verify.

Issue 3 — feature — route to HUMAN

Title: Support due dates on tasks

Context / problem

Users want to attach a due date to a task so the list can reflect what's coming up, not just what exists. Today a task is only a title and a done flag. This is desirable but underspecified — several product decisions have to be made before any code is written.

Open questions (resolve before this is ready):

  • What date format does the user type, and how forgiving is parsing? (ISO 2026-06-30 only, or relative like tomorrow / friday?)
  • Does list re-sort by due date, group by it, or just display it inline?
  • How is a due date set — at add time (a flag?) or with a separate command? Can it be cleared?
  • How are overdue tasks surfaced — highlighted, flagged, sorted to the top — and in whose timezone?
  • How is it stored, and what's the default for the existing tasks that have none?

Acceptance criteria

  • (Cannot be written yet — depends on the decisions above. Likely splits into 23 smaller, agent-ready issues once the design is settled.)

Out of scope

TBD until the design questions are answered.


  • Type: feature
  • Priority: low
  • Ready: no
  • Route to: human — genuine design ambiguity. An agent would answer these questions confidently and probably wrongly. A person decides the design, then splits this into clear sub-issues (which may then be agent-ready).